What is the AI Kill Threshold?

The AI Kill Threshold is a probability (0-100%) indicating how likely your occupation will be replaced by AI. It is calculated using the Swiss Cheese Barrier Model across four independent dimensions: Learnability, Evaluation Objectivity, Risk Tolerance, and Human Presence.

How is the replacement probability calculated?

Using a Weighted Power Mean with r=-2 across four dimensions. Learnability has weight 0.30, Evaluation Objectivity 0.25, Risk Tolerance 0.20, Human Presence 0.25. An additional E+O interaction bonus applies when both knowledge is explicit and evaluation is objective.

What data sources does AIR use?

AIR aggregates from BLS OES 2023 (798 occupations employment data), O*NET (task structure labels), Eloundou et al. 2023 (LLM exposure measurement across 19,265 tasks), OpenAI GDPval (AI vs human expert blind evaluation), and the World Economic Forum Future of Jobs Report 2025.

How does AIR differ from MBTI?

MBTI measures personality. AIR measures occupational AI-replacement risk. Both use four binary dimensions producing a 4-letter code, but AIR's dimensions are grounded in automation economics literature and the output is backed by employment data from 798 real occupations.

What is the current industry-wide AI replacement rate?

As of 2026, the employment-weighted industry-wide AI replacement rate is 24.7%, calculated as Task Exposure (34.8%, Eloundou et al. 2023) times AI Win Rate vs human experts (71.3%, OpenAI GDPval).

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TORH

The Healing Hand

“When lives are on the line, no one asks for the AI”

Low Risk

Ersetzungswahrscheinlichkeit

12%–28%

Prognostizierter Jahresbereich

2040–2055

Risikostufe

Low Risk

Tacit + Objective + Rigid + Human: Physical experience + irreversible errors + patient trust

Superkraft

Physical healing skill combined with irreversible stakes and deep patient trust

Schwäche

AI diagnostics are already more accurate — the hands may be last to go, but the mind goes first

Vier Barriere-Dimensionen

Lernbarkeit — Implizit (T)

Kann KI das Wissen und die Fähigkeiten erwerben und erlernen, die Ihr Job erfordert?

Bewertungsobjektivität — Objektiv (O)

Gibt es bei Ihrer Arbeit eine „richtige Antwort"? Lässt sich die Qualität objektiv messen?

Fehlertoleranz — Rigide (R)

Wenn die KI einen Fehler macht, sind die Folgen tragbar? Kann man ihrem Output vertrauen?

Personenabhängigkeit — Mensch (H)

Liegt Ihr Wert in „was Sie produzieren" oder in „wer Sie sind"?

Warum exponiert

Work is objectively evaluated — when AI achieves physical capability AND earns regulatory trust, objective metrics make the replacement case clear.

Natürliche Verteidigung

Tacit physical knowledge + irreversible stakes + patient/client trust = the triple fortress. Dental surgeons, obstetricians, specialized therapists — trust built through human touch.

Typische Berufe

Healthcare Practitioners & Technical (29) — dental/obstetric, Healthcare Support (31)

Beispielberufe-Risiko

Nurse Practitioners
Advanced clinical judgment and prescribing authority — AI assists diagnosis but liability stays with NP
5
Medical Assistants
Clinical procedures and patient preparation require physical skill and compassionate presence
3
Registered Nurses
Bedside care, patient advocacy, and real-time clinical judgment cannot be digitized away
2
Pharmacy Technicians
Dispensing automation advancing — technicians shift to patient counseling and exception handling
2
Licensed Practical and Licensed Vocational Nurses
Direct patient care under supervision — physical and emotional presence is the core value
2
Nursing Assistants
Personal care, mobility assistance, and human dignity in daily routines resist automation
2

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